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Description
BMC AMI Ops is a mainframe AIOps and observability solution designed to help enterprises modernize operations, improve resilience, and reduce operational cost. The platform gives teams centralized visibility across mainframe systems, subsystems, applications, networks, storage, databases, batch workloads, and messaging environments. It helps operations teams detect issues earlier, reduce mean time to detect, avoid downtime, and maintain high service availability. BMC AMI Ops uses self-learning AI and machine learning models to continuously adapt to system behavior and improve anomaly detection accuracy. Embedded GenAI translates findings into context, impact, and guided remediation so teams can understand what happened and what to do next from inside the dashboard. The platform also supports OpenTelemetry-compliant streaming, allowing mainframe telemetry to connect with enterprise observability tools. BMC AMI Ops includes capabilities for CICS performance control, Db2 optimization, IMS visibility, MQ message management, Java workload monitoring, batch optimization, network visibility, storage oversight, and cost analytics. Automation features help reduce manual tasks, improve operational consistency, and lower CPU and MIPS consumption. By combining AI-driven monitoring, observability, automation, alert consolidation, and remediation guidance, BMC AMI Ops helps mainframe teams operate critical systems more efficiently and reliably.
Description
Metoro serves as an AI Site Reliability Engineer tailored for Kubernetes environments, assisting Site Reliability Engineers, DevOps professionals, and software developers in managing production effectively.
This innovative tool autonomously oversees both services and infrastructure to identify any issues as they emerge, subsequently diagnosing the root causes and implementing solutions by creating pull requests.
Utilizing eBPF, Metoro gathers all necessary telemetry without requiring modifications to the codebase, ensuring that every container, service, and host is monitored at the kernel level in real-time. Users can effortlessly deploy Metoro into their clusters with a single helm install command, leading to a fully operational setup in approximately five minutes.
Its seamless integration and rapid deployment make it an invaluable asset for teams looking to enhance their operational efficiency.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Azure DevOps
BMC Helix CMDB
Broadcom Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Flexera One
IBM Db2
IBM z/OS
Io-Tahoe
Integrations
Azure DevOps
BMC Helix CMDB
Broadcom Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Flexera One
IBM Db2
IBM z/OS
Io-Tahoe
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$20/host/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
BMC Software
Founded
1980
Country
United States
Website
www.bmc.com/it-solutions/bmc-ami-ops.html
Vendor Details
Company Name
Metoro
Founded
2023
Country
United States
Website
metoro.io